AReNA's DHS-GIS Database
Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between...
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2020
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| Acceso en línea: | https://hdl.handle.net/10568/144732 |
| _version_ | 1855535703967924224 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. ARENA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 demographic health surveys (DHS) surveys, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS surveys. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime. |
| format | Conjunto de datos |
| id | CGSpace144732 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1447322024-10-25T08:04:12Z AReNA's DHS-GIS Database International Food Policy Research Institute spatial data geographical information systems rainfall agricultural production agroecology soil climate pastures malaria normalized difference vegetation index nutrition infrastructure livestock temperature Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. ARENA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 demographic health surveys (DHS) surveys, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS surveys. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime. 2020 2024-06-04T09:44:25Z 2024-06-04T09:44:25Z Dataset https://hdl.handle.net/10568/144732 en https://doi.org/10.2499/p15738coll2.133172 Open Access International Food Policy Research Institute International Food Policy Research Institute. 2020. AReNA’s DHS-GIS Database. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/OQIPRW. Harvard Dataverse. Version 1. |
| spellingShingle | spatial data geographical information systems rainfall agricultural production agroecology soil climate pastures malaria normalized difference vegetation index nutrition infrastructure livestock temperature International Food Policy Research Institute AReNA's DHS-GIS Database |
| title | AReNA's DHS-GIS Database |
| title_full | AReNA's DHS-GIS Database |
| title_fullStr | AReNA's DHS-GIS Database |
| title_full_unstemmed | AReNA's DHS-GIS Database |
| title_short | AReNA's DHS-GIS Database |
| title_sort | arena s dhs gis database |
| topic | spatial data geographical information systems rainfall agricultural production agroecology soil climate pastures malaria normalized difference vegetation index nutrition infrastructure livestock temperature |
| url | https://hdl.handle.net/10568/144732 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute arenasdhsgisdatabase |